Company Description:
Circadia Health is a medical device and data technology company that has developed the world's first FDA cleared contactless remote patient monitoring system. Powered by cutting-edge technology and AI, the system allows for the early detection of medical events such as Congestive Heart Failure, COPD Exacerbations, Pneumonia, Sepsis, UTIs, and Falls.
We're monitoring over 20,000+ lives daily and growing rapidly. As we scale our team, Circadia is looking for energetic, personable, and solutions-oriented individuals driven by creating the ultimate customer experience. Prior experience in healthcare is a big plus, but not required.
Our mission is to enhance patient outcomes and improve healthcare processes by providing cutting-edge solutions to healthcare providers and patients alike.
**MUST be located in Los Angeles,CA & within less than an hour to El Segundo, CA
Job Description:
As a Data Analyst, you will be responsible for translating business requirements into actionable insights to influence business and operational strategy. Circadia sits on terabytes of data, most of which is still unexplored - and it'll be up to you to make sense of it all! Furthermore, you'll have a unique opportunity of working closely with operations, clinical, marketing, and R&D teams.
We seek a detail-oriented and strategic thinker with a passion for leveraging data to drive business decision-making.
Key Responsibilities:
Leverage SQL and data warehouse technologies such as Snowflake and Redshift to extract, transform, and analyze complex data sets.
Collaborate with cross-functional teams, including product and engineering, to define key performance indicators and metrics.
Develop, maintain, and execute data transformations to support the organization's metrics and analytics needs.
Create and maintain dashboards to visualize data, providing insights that enable data-driven decision-making.
Effectively communicate findings to both technical and non-technical stakeholders, and propose solutions to optimize processes or strategies based on those findings.
Requirements:
4-5+ years of experience working as a Data Analyst / BI Engineer at top tech startups or large companies.
Bachelor's or higher in Mathematics, Engineering, Natural Sciences or a similar numerate degree.
SQL and Data Warehousing: Strong expertise in SQL and familiarity with data warehouse technologies like Snowflake, Redshift or similar. Proficiency in writing, optimizing, and debugging complex queries is required.
Basic knowledge of Python and related packages such as pandas and numpy.
Data Visualization: Proficient in data visualization tools (Preset, Tableau, PowerBI or similar), with the ability to create dynamic dashboards and reports that effectively present complex data sets.
Analytical Skills: Excellent analytical abilities with the capacity to collect, organize, and dissect large amounts of data with attention to detail and accuracy.
Problem-Solving Skills: Exceptional problem-solving capabilities to tackle complex business problems, and the ability to propose data-driven solutions.
Communication Skills: Strong communication skills to present findings and translate complex data insights to both technical and non-technical stakeholders.
Benefits:
Full Single Coverage Health Care Plan (Medical, Dental & Vision)
Retirement Plan Contribution (401k, IRA)
Car lease allowance and mileage reimbursement
Hybrid Role - Ability to work from home when not onsite / office
Paid Time Off ~1.75 days per month (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)Professional Training & Development
Annual Company Retreat
What We Do
Powered by the world’s first FDA-cleared truly contactless patient monitoring system, Circadia improves clinical outcomes through early detection. The technology monitors a patient’s respiratory rate from up to 8 feet away without anything on the bed or body. Clinicians use this data to identify medical events such as Congestive Heart Failure, COPD Exacerbations, Pneumonia, Sepsis, UTIs, and Falls — several hours and days in advance. A team of virtual nurses review data from the device and analyze trends in the patient’s electronic health record to deliver personalized, predictive risk alerts 24/7/365.